Completed university studies with PhD in the field of Process Engineering, Metallurgy, Applied Physics, Materials Science, Materials Engineering, or related fields Tangible experience with physical and chemical technologies used for the recycling of electronics waste (or similar waste categories) Sound knowledge of and experience with approaches used for the quantitative chemical and physical characterization of complex raw materials In-depth understanding of critical raw material analytics, processing, valorization and market First-hand experience in the application of machine learning, simulation and modelling concepts in resource technology Proven track record of interdisciplinary collaboration along the value chain of raw materials Tangible publication record relevant to the field Experience with project acquisition and coordination Good communication and team player skills Proven ability to provide professional guidance and motivation to team members Fluent in spoken and written English

Tasks Establish and lead a junior research group focusing on the development of predictive recycling concepts for future electronic devices and products Recruit and manage the group members, which may include postdocs, doctoral students, research assistants and other co-workers Supervise students (PhD, MSc and BSc) Effective collaboration with other research groups in the REC2 Excellence Cluster Test and validate the developed predictive concepts with material scientists and device designers Communicate insights gained to colleagues in the REC2 excellence cluster Conduct excellent research, including publication in leading international journals, active dissemination of research results to academic networks and the general public Attract further third-party funding to strengthen the research activities of the junior research group Become actively involved in the REC2 cluster activities and its selfgovernance Demonstrate academic ambition by applying for the “TUD Young Investigator Status”